This book is a major update of Prof. Adrian Low’s first edition entitled Introductory Computer Vision and Image Processingâ€, published by McGraw Hill in 1991. Since the first edition was published, there has been a fantastic number of developments in the underlying theory, techniques and applications in computer vision and image processing. The Second Edition brings the science of image up-to-date but still maintains the gentle approach, avoiding substantial mathematics. Recognising that many students want an intuitive understanding rather than a detailed exposition, the book develops ideas in a readable and user-friendly language, adding code where sensible so that, the student can incorporate the ideas into projects without having to recreate the wheel themselves. Main Features Focussed on small images and few colours precisely so that algorithms can be explained using real  numbers and not just formulae Added new techniques that will help those seeking algorithms to do imaging Described the subject to less mathematical students